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Daru ; 31(2): 119-133, 2023 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-37454036

RESUMEN

BACKGROUND: Cyclooxygenase enzyme is frequently overexpressed in various types of cancer and found to play a crucial role in poor prognosis in cancer patients. In current research, we have reported the new COX-2 inhibitors for cancer treatment using computer-aided drug design and experimental validation. METHODS: A total of 12,795 compounds from the different databases were used to screen against the COX-2 enzyme. It perceived three new compounds with better binding affinity to the enzyme. Afterwards, physicochemical properties and in silico bioactivity were assessed for efficacy, safety, and structural features required for binding. The molecules were synthesized and confirmed by spectroscopic techniques. Later on, molecules were evaluated for their anti-cancer activity using MCF-7, MDA-MB-231 and SiHa cancer cell lines. RESULTS: Compound ZINC5921547 and ZINC48442590 (4a, and 4b) reduced the MCF-7, MDA-MB-231, and SiHa cells proliferation potently than parent compounds. The PG-E2 estimation shown, both compounds act through the COX-2 PGE2 axis. Compound 4a and 4b block the cell cycle at G1-S phase and induce cancer cell death. CONCLUSIONS: We concluded that compounds 4a and 4b effectively promotes cancer cell death via COX-2 PGE2 axis, and further in vivo studies can be evaluated for development in both compounds as anticancer agents. The compilation of this information will help us to generate better outcome through robust computational methods. The high-quality experimental results may pave the way for identifying effective drug candidates for cancer treatment.


Asunto(s)
Antineoplásicos , Inhibidores de la Ciclooxigenasa 2 , Humanos , Inhibidores de la Ciclooxigenasa 2/farmacología , Inhibidores de la Ciclooxigenasa 2/química , Relación Estructura-Actividad , Línea Celular Tumoral , Ciclooxigenasa 2/metabolismo , Dinoprostona/farmacología , Ensayos de Selección de Medicamentos Antitumorales , Antineoplásicos/química , Diseño de Fármacos , Simulación del Acoplamiento Molecular , Estructura Molecular , Proliferación Celular
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